Refine
Document Type
- Conference Proceeding (11)
- Article (1)
Keywords
- Energy storage (4)
- Power plants (4)
- Associated liquids (3)
- Concentrated solar power (3)
- Hybrid energy system (3)
- Electricity generation (2)
- Solar thermal technologies (2)
- Camera system (1)
- Ceramics (1)
- Cloud passages (1)
- Control optimization (1)
- DNI forecast (1)
- DNI forecasting (1)
- Decision theory (1)
- Direct normal irradiance forecast (1)
- Dynamic simulation (1)
- Electrochemistry (1)
- Global change (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Measuring instruments (1)
- Molten salt receiver (1)
- Molten salt receiver system (1)
- Molten salt receiver system, (1)
- Molten salt solar tower (1)
- Nowcasting (1)
- PTC (1)
- Parabolic trough collector (1)
- Photovoltaics (1)
- Process prediction (1)
- Quadrocopter (1)
- Solar irradiance (1)
- Star design (1)
- Thermal Energy Storage (1)
- Transient flux distribution (1)
- Two-phase modelling (1)
- UAV (1)
- Uncertainty analysis (1)
- Unmanned aerial vehicle (1)
Institute
- ECSM European Center for Sustainable Mobility (12) (remove)
Concerning current efforts to improve operational efficiency and to lower overall costs of concentrating solar power (CSP) plants with prediction-based algorithms, this study investigates the quality and uncertainty of nowcasting data regarding the implications for process predictions. DNI (direct normal irradiation) maps from an all-sky imager-based nowcasting system are applied to a dynamic prediction model coupled with ray tracing. The results underline the need for high-resolution DNI maps in order to predict net yield and receiver outlet temperature realistically. Furthermore, based on a statistical uncertainty analysis, a correlation is developed, which allows for predicting the uncertainty of the net power prediction based on the corresponding DNI forecast uncertainty. However, the study reveals significant prediction errors and the demand for further improvement in the accuracy at which local shadings are forecasted.